text file to reduce storage space, but also need to support split, and compatible with the previous application (that is, the application does not need to modify) situation.
5.comparison of the characteristics of 4 compression formats
compression Format
Split
native
Compression ratio
Speed
whether Hadoop comes with
Linux Commands
if the original application has to be modified after you change to a compressed format
Big Data projects are driven by business. A complete and excellent big data solution is of strategic significance to the development of enterprises.
Due to the diversity of data sources, data types and scales from different
To ensure the reliability of the storage file, HDFs decomposes the file into multiple sequence blocks and saves multiple copies of the data block. This is important for fault tolerance, where a copy of a block of data can be read from another node when one of the data blocks of the file is corrupted.
Tags: Hadoop sqoopFirst, using Sqoop to import data from MySQL into the hdfs/hive/hbaseSecond, the use of Sqoop will be the data in the Hdfs/hive/hbaseExportto MySQL 2.3 NBSP; hbase data exported to MySQL There is no immediate command to direct
1. Panorama Figure 2. Generate a dynamic date parameter with Executescript in order to generate only one Flowfile:groovy code:Import Org.apache.commons.io.IOUtilsImport java.nio.charset.*Import Java.text.SimpleDateFormat;Import Java.lang.StringBuilder;Import Java.util.Calendar;def flowfile = Session.create ()Flowfile = Session.write (Flowfile, {inputstream, OutputStream-SimpleDateFormat SDF = new SimpleDateFormat ("YyyyMMdd");Calendar cal = Calendar.getinstance ();StringBuilder sb = new StringBu
Label:The first is to install the MySQL database. Installation is complete using the sudo apt-get install mysql-server command. The table is then created and the data is inserted:Then download the Sqoop and the jar package that connects to the MySQL database. The next step is to install Sqoop. The first is to configure the sqoop-env.sh file:Then comment out the Config-sqoop file that does not need to be checked:The next step is to copy the Sqoop-1.4.4
Big Data Big Data, a collection of data that cannot be captured, managed, and processed by conventional software tools within a manageable timeframe, requires a new processing model to have greater decision-making, insight and process optimization capabilities to accommodate
Business BackgroundConvention five days ago HDFs data is outdated version data, write a script to automatically delete outdated version data$ Hadoop FS-ls/user/pms/workspace/ouyangyewei/DataFound9Itemsdrwxr-XR- x -PMS PMS0 -- ,- One -:Geneva/user/pms/workspace/ouyangyewei/Data
What can big data do? Currently, big data analysis technology has been applied in many fields, such as event prediction, flu prediction, business analysis, and user behavior analysis ...... These functions and applications that people once could not implement are becoming a reality with the help of
is passed in, and the cancellation state of the cancellation iscancelled is true, exit the while loop directlyif(Canceler! = null canceler.iscancelled ()) {return; }Longnow = Monotonicnow ();//Calculates the current cycle end time. and stored in the curperiodend variable.LongCurperiodend = Curperiodstart + period;if(Now //wait for the next cycle so that Curreserve can addTry{Wait (curperiodend-now); }Catch(Interruptedexception e) {//Terminate throttle, and reset the interrupted state to ensure
Datanode verifies the data checksum before actually storing the data.
The client writes data to datanode through pipeline. The last datanode checks the checksum.
When the client reads data from datanode, it also checks and compares the checksum of the actual data and the che
Datanode verifies the data checksum before actually storing the data.
The client writes data to datanode through pipeline. The last datanode checks the checksum.
When the client reads data from datanode, it also checks and compares the checksum of the actual data and the
HDFS There are two types of nodes in the cluster, with managers - worker mode run, that is, a name node ( manager ) and multiple data nodes ( worker ) . The name node manages the namespace of the file system. It maintains the file system tree and all the files and index directories in the tree. This information is permanently stored on the local disk in two forms: the namespace Mirror and the edit log. The
Phenomenon:15/08/12 10:19:30 INFO MapReduce. Job:job job_1439396788627_0005 failed with state failed due to:application application_1439396788627_0005 failed 2 times Due to AM Container for appattempt_1439396788627_0005_000002 exited with exitcode:1 due to:exception from Container-lau Nch:exitcodeexception exitcode=1:Exitcodeexception exitcode=1:At Org.apache.hadoop.util.Shell.runCommand (shell.java:538)At Org.apache.hadoop.util.Shell.run (shell.java:455)At Org.apache.hadoop.util.shell$shellcomm
Big Data learning, big data development trends and spark introductionBig data is a phenomenon that develops with the development of computer technology, communication technology and Internet.In the past, we did not realize the connection between people, the
IntroductionUsing bulkload to load data on HDFS into hbase is a common entry-level hbase skill. Below is a simple record of key steps. For more information about bulkload, see the official documentation.
Process
Step 1: run on each machine
Ln-S $ hbase_home/CONF/hbase-site.xml $ hadoop_home/etc/hadoop/hbase-site.xml
Step 2: Edit $ hadoop_home/etc/hadoop/hadoop-env.sh and copy to all nodes
Add at the
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